Go to the restaurant to eat, but the fear works, the food is getting well! To avoid this fear, Google appears as a trio. If you eat food from a restaurant, food poisoning is likely to be announced in advance by the search giant.
Google is trying to create a special type of machine learning algorithm with the Harvard University of United States. Through this, Google's search analysis provides a list of restaurants lacking food safety.
Researchers say it will provide information about potentially unsafe restaurants in the fastest possible time. The model has been called Finder or the Real Time Foodbone Illness Detector. In the first case, it will look for specific substances such as bowel disease or diarrhea.
But no information was provided on how it will be launched. People go to different restaurants and tell about their experiences through smartphones. Finder collects data from all previous stories he has on the smartphone and explores it. This may be known about food supply deficit restaurants.
Researchers run the 2016 and 2016 tests in Chicago and Las Vegas. They found that the identification of unhealthy restaurants in two cities with technology is 52.3 percent.
In the usual campaign, the unsafe restaurant identification rate is 22.7 percent. Google Senior Richard Richard Scientist and co-author of the study Evgeny Gabriłovich said that we can use online data as a time-consuming and cost-effective method for improving public health.
Researchers believe that the health department can use the Finder algorithm with an existing method of identifying unsafe restaurants. Because it is more effective than customer complaints and existing campaign methods.